A genome-wide association analysis of Framingham Heart Study longitudinal data using multivariate adaptive splines

Abstract The Framingham Heart Study is a well known longitudinal cohort study. In recent years, the community-based Framingham Heart Study has embarked on genome-wide association studies. In this paper, we present a Framingham Heart Study genome-wide analysis for fasting triglycerides trait in the G...
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Autor*in:	Zhu, Wensheng [verfasserIn] Cho, Kelly Chen, Xiang Zhang, Meizhuo Wang, Minghui Zhang, Heping

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2009

Schlagwörter:	Framingham Heart Study Original Cohort Significant SNPs Wald Statistic Genetic Analysis Workshop

Anmerkung:	© Zhu et al; licensee BioMed Central Ltd. 2009. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (

Übergeordnetes Werk:	Enthalten in: BMC proceedings - London : BioMed Central, 2007, 3(2009), Suppl 7 vom: 15. Dez.
Übergeordnetes Werk:	volume:3 ; year:2009 ; number:Suppl 7 ; day:15 ; month:12

Links:	Volltext

DOI / URN:	10.1186/1753-6561-3-S7-S119

Katalog-ID:	SPR028431472

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allfields	10.1186/1753-6561-3-S7-S119 doi (DE-627)SPR028431472 (SPR)1753-6561-3-S7-S119-e DE-627 ger DE-627 rakwb eng Zhu, Wensheng verfasserin aut A genome-wide association analysis of Framingham Heart Study longitudinal data using multivariate adaptive splines 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Zhu et al; licensee BioMed Central Ltd. 2009. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License ( Abstract The Framingham Heart Study is a well known longitudinal cohort study. In recent years, the community-based Framingham Heart Study has embarked on genome-wide association studies. In this paper, we present a Framingham Heart Study genome-wide analysis for fasting triglycerides trait in the Genetic Analysis Workshop16 Problem 2 using multivariate adaptive splines for the analysis of longitudinal data (MASAL). With MASAL, we are able to perform analysis of genome-wide data with longitudinal phenotypes and covariates, making it possible to identify genes, gene-gene, and gene-environment (including time) interactions associated with the trait of interest. We conducted a permutation test to assess the associations between MASAL selected markers and triglycerides trait and report significant gene-gene and gene-environment interaction effects on the trait of interest. Framingham Heart Study (dpeaa)DE-He213 Original Cohort (dpeaa)DE-He213 Significant SNPs (dpeaa)DE-He213 Wald Statistic (dpeaa)DE-He213 Genetic Analysis Workshop (dpeaa)DE-He213 Cho, Kelly aut Chen, Xiang aut Zhang, Meizhuo aut Wang, Minghui aut Zhang, Heping aut Enthalten in BMC proceedings London : BioMed Central, 2007 3(2009), Suppl 7 vom: 15. Dez. (DE-627)559080840 (DE-600)2411867-9 1753-6561 nnns volume:3 year:2009 number:Suppl 7 day:15 month:12 https://dx.doi.org/10.1186/1753-6561-3-S7-S119 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 3 2009 Suppl 7 15 12
spelling	10.1186/1753-6561-3-S7-S119 doi (DE-627)SPR028431472 (SPR)1753-6561-3-S7-S119-e DE-627 ger DE-627 rakwb eng Zhu, Wensheng verfasserin aut A genome-wide association analysis of Framingham Heart Study longitudinal data using multivariate adaptive splines 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Zhu et al; licensee BioMed Central Ltd. 2009. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License ( Abstract The Framingham Heart Study is a well known longitudinal cohort study. In recent years, the community-based Framingham Heart Study has embarked on genome-wide association studies. In this paper, we present a Framingham Heart Study genome-wide analysis for fasting triglycerides trait in the Genetic Analysis Workshop16 Problem 2 using multivariate adaptive splines for the analysis of longitudinal data (MASAL). With MASAL, we are able to perform analysis of genome-wide data with longitudinal phenotypes and covariates, making it possible to identify genes, gene-gene, and gene-environment (including time) interactions associated with the trait of interest. We conducted a permutation test to assess the associations between MASAL selected markers and triglycerides trait and report significant gene-gene and gene-environment interaction effects on the trait of interest. Framingham Heart Study (dpeaa)DE-He213 Original Cohort (dpeaa)DE-He213 Significant SNPs (dpeaa)DE-He213 Wald Statistic (dpeaa)DE-He213 Genetic Analysis Workshop (dpeaa)DE-He213 Cho, Kelly aut Chen, Xiang aut Zhang, Meizhuo aut Wang, Minghui aut Zhang, Heping aut Enthalten in BMC proceedings London : BioMed Central, 2007 3(2009), Suppl 7 vom: 15. Dez. (DE-627)559080840 (DE-600)2411867-9 1753-6561 nnns volume:3 year:2009 number:Suppl 7 day:15 month:12 https://dx.doi.org/10.1186/1753-6561-3-S7-S119 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 3 2009 Suppl 7 15 12
allfields_unstemmed	10.1186/1753-6561-3-S7-S119 doi (DE-627)SPR028431472 (SPR)1753-6561-3-S7-S119-e DE-627 ger DE-627 rakwb eng Zhu, Wensheng verfasserin aut A genome-wide association analysis of Framingham Heart Study longitudinal data using multivariate adaptive splines 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Zhu et al; licensee BioMed Central Ltd. 2009. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License ( Abstract The Framingham Heart Study is a well known longitudinal cohort study. In recent years, the community-based Framingham Heart Study has embarked on genome-wide association studies. In this paper, we present a Framingham Heart Study genome-wide analysis for fasting triglycerides trait in the Genetic Analysis Workshop16 Problem 2 using multivariate adaptive splines for the analysis of longitudinal data (MASAL). With MASAL, we are able to perform analysis of genome-wide data with longitudinal phenotypes and covariates, making it possible to identify genes, gene-gene, and gene-environment (including time) interactions associated with the trait of interest. We conducted a permutation test to assess the associations between MASAL selected markers and triglycerides trait and report significant gene-gene and gene-environment interaction effects on the trait of interest. Framingham Heart Study (dpeaa)DE-He213 Original Cohort (dpeaa)DE-He213 Significant SNPs (dpeaa)DE-He213 Wald Statistic (dpeaa)DE-He213 Genetic Analysis Workshop (dpeaa)DE-He213 Cho, Kelly aut Chen, Xiang aut Zhang, Meizhuo aut Wang, Minghui aut Zhang, Heping aut Enthalten in BMC proceedings London : BioMed Central, 2007 3(2009), Suppl 7 vom: 15. Dez. (DE-627)559080840 (DE-600)2411867-9 1753-6561 nnns volume:3 year:2009 number:Suppl 7 day:15 month:12 https://dx.doi.org/10.1186/1753-6561-3-S7-S119 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 3 2009 Suppl 7 15 12
allfieldsGer	10.1186/1753-6561-3-S7-S119 doi (DE-627)SPR028431472 (SPR)1753-6561-3-S7-S119-e DE-627 ger DE-627 rakwb eng Zhu, Wensheng verfasserin aut A genome-wide association analysis of Framingham Heart Study longitudinal data using multivariate adaptive splines 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Zhu et al; licensee BioMed Central Ltd. 2009. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License ( Abstract The Framingham Heart Study is a well known longitudinal cohort study. In recent years, the community-based Framingham Heart Study has embarked on genome-wide association studies. In this paper, we present a Framingham Heart Study genome-wide analysis for fasting triglycerides trait in the Genetic Analysis Workshop16 Problem 2 using multivariate adaptive splines for the analysis of longitudinal data (MASAL). With MASAL, we are able to perform analysis of genome-wide data with longitudinal phenotypes and covariates, making it possible to identify genes, gene-gene, and gene-environment (including time) interactions associated with the trait of interest. We conducted a permutation test to assess the associations between MASAL selected markers and triglycerides trait and report significant gene-gene and gene-environment interaction effects on the trait of interest. Framingham Heart Study (dpeaa)DE-He213 Original Cohort (dpeaa)DE-He213 Significant SNPs (dpeaa)DE-He213 Wald Statistic (dpeaa)DE-He213 Genetic Analysis Workshop (dpeaa)DE-He213 Cho, Kelly aut Chen, Xiang aut Zhang, Meizhuo aut Wang, Minghui aut Zhang, Heping aut Enthalten in BMC proceedings London : BioMed Central, 2007 3(2009), Suppl 7 vom: 15. Dez. (DE-627)559080840 (DE-600)2411867-9 1753-6561 nnns volume:3 year:2009 number:Suppl 7 day:15 month:12 https://dx.doi.org/10.1186/1753-6561-3-S7-S119 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 3 2009 Suppl 7 15 12
allfieldsSound	10.1186/1753-6561-3-S7-S119 doi (DE-627)SPR028431472 (SPR)1753-6561-3-S7-S119-e DE-627 ger DE-627 rakwb eng Zhu, Wensheng verfasserin aut A genome-wide association analysis of Framingham Heart Study longitudinal data using multivariate adaptive splines 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Zhu et al; licensee BioMed Central Ltd. 2009. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License ( Abstract The Framingham Heart Study is a well known longitudinal cohort study. In recent years, the community-based Framingham Heart Study has embarked on genome-wide association studies. In this paper, we present a Framingham Heart Study genome-wide analysis for fasting triglycerides trait in the Genetic Analysis Workshop16 Problem 2 using multivariate adaptive splines for the analysis of longitudinal data (MASAL). With MASAL, we are able to perform analysis of genome-wide data with longitudinal phenotypes and covariates, making it possible to identify genes, gene-gene, and gene-environment (including time) interactions associated with the trait of interest. We conducted a permutation test to assess the associations between MASAL selected markers and triglycerides trait and report significant gene-gene and gene-environment interaction effects on the trait of interest. Framingham Heart Study (dpeaa)DE-He213 Original Cohort (dpeaa)DE-He213 Significant SNPs (dpeaa)DE-He213 Wald Statistic (dpeaa)DE-He213 Genetic Analysis Workshop (dpeaa)DE-He213 Cho, Kelly aut Chen, Xiang aut Zhang, Meizhuo aut Wang, Minghui aut Zhang, Heping aut Enthalten in BMC proceedings London : BioMed Central, 2007 3(2009), Suppl 7 vom: 15. Dez. (DE-627)559080840 (DE-600)2411867-9 1753-6561 nnns volume:3 year:2009 number:Suppl 7 day:15 month:12 https://dx.doi.org/10.1186/1753-6561-3-S7-S119 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 3 2009 Suppl 7 15 12
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author	Zhu, Wensheng
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topic	misc Framingham Heart Study misc Original Cohort misc Significant SNPs misc Wald Statistic misc Genetic Analysis Workshop
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title	A genome-wide association analysis of Framingham Heart Study longitudinal data using multivariate adaptive splines
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title_full	A genome-wide association analysis of Framingham Heart Study longitudinal data using multivariate adaptive splines
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title_sort	genome-wide association analysis of framingham heart study longitudinal data using multivariate adaptive splines
title_auth	A genome-wide association analysis of Framingham Heart Study longitudinal data using multivariate adaptive splines
abstract	Abstract The Framingham Heart Study is a well known longitudinal cohort study. In recent years, the community-based Framingham Heart Study has embarked on genome-wide association studies. In this paper, we present a Framingham Heart Study genome-wide analysis for fasting triglycerides trait in the Genetic Analysis Workshop16 Problem 2 using multivariate adaptive splines for the analysis of longitudinal data (MASAL). With MASAL, we are able to perform analysis of genome-wide data with longitudinal phenotypes and covariates, making it possible to identify genes, gene-gene, and gene-environment (including time) interactions associated with the trait of interest. We conducted a permutation test to assess the associations between MASAL selected markers and triglycerides trait and report significant gene-gene and gene-environment interaction effects on the trait of interest. © Zhu et al; licensee BioMed Central Ltd. 2009. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (
abstractGer	Abstract The Framingham Heart Study is a well known longitudinal cohort study. In recent years, the community-based Framingham Heart Study has embarked on genome-wide association studies. In this paper, we present a Framingham Heart Study genome-wide analysis for fasting triglycerides trait in the Genetic Analysis Workshop16 Problem 2 using multivariate adaptive splines for the analysis of longitudinal data (MASAL). With MASAL, we are able to perform analysis of genome-wide data with longitudinal phenotypes and covariates, making it possible to identify genes, gene-gene, and gene-environment (including time) interactions associated with the trait of interest. We conducted a permutation test to assess the associations between MASAL selected markers and triglycerides trait and report significant gene-gene and gene-environment interaction effects on the trait of interest. © Zhu et al; licensee BioMed Central Ltd. 2009. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (
abstract_unstemmed	Abstract The Framingham Heart Study is a well known longitudinal cohort study. In recent years, the community-based Framingham Heart Study has embarked on genome-wide association studies. In this paper, we present a Framingham Heart Study genome-wide analysis for fasting triglycerides trait in the Genetic Analysis Workshop16 Problem 2 using multivariate adaptive splines for the analysis of longitudinal data (MASAL). With MASAL, we are able to perform analysis of genome-wide data with longitudinal phenotypes and covariates, making it possible to identify genes, gene-gene, and gene-environment (including time) interactions associated with the trait of interest. We conducted a permutation test to assess the associations between MASAL selected markers and triglycerides trait and report significant gene-gene and gene-environment interaction effects on the trait of interest. © Zhu et al; licensee BioMed Central Ltd. 2009. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (
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title_short	A genome-wide association analysis of Framingham Heart Study longitudinal data using multivariate adaptive splines
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A genome-wide association analysis of Framingham Heart Study longitudinal data using multivariate adaptive splines

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